Defining agents' behaviors to simulate complex residential development using multicriteria evaluation

Authored by Xia Li, Xiaoping Liu

Date Published: 2007-12

DOI: 10.1016/j.jenvman.2006.11.006

Sponsors: Chinese National Natural Science Foundation Ministry of Education of China National Outstanding Youth Foundation of China

Platforms: No platforms listed

Model Documentation: Other Narrative Flow charts Mathematical description

Model Code URLs: Model code not found

Abstract

Cellular automata (CA) have been increasingly used to simulate complex geographical phenomena. These models may have limitations on reflecting individuals' behaviors which should be considered in urban simulation. Agent-based modeling can solve some of the problems in addressing individuals' influences in urban systems. However, there is a general lack of methodology on how to define agents' properties. This paper uses multicriteria evaluation techniques to determine some of the parameters for the agent-based model. Empirical data from GIS are used to define agent's properties. Sensitivity analysis is also carried out to assess the influences of parameters on simulation outcomes. This model has been applied to the simulation of the residential development in a fast growing city, Guangzhou, in south China. (C) 2006 Elsevier Ltd. All rights reserved.

Tags

Multi-agent systems Cellular automata residential development urban systems